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<br>**** The 2nd AAAI International Workshop on the World Wide Web and Public Health Intelligence (W3PHI 2015)
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<br> www.w3phi.com
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<br>In conjunction with the 29th AAAI Conference on Artificial Intelligence (AAAI-15) January 25–29, 2015, in Austin, TX, USA
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<br>The second International workshop on the World Wide Web and Public Health Intelligence (W3PHI 2015) aims to bring together a wide range of computer scientists, biomedical and health informaticians, researchers, students, industry professionals, representatives of national and international public health agencies, and NGOs interested in the theory and practice of computational models of web-based public health intelligence to highlight the latest achievements in epidemiological surveillance based on monitoring online communications and interactions on the World Wide Web. The workshop will promote open debate and exchange of opinions among part...
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<br>
<br>**** The 2nd AAAI International Workshop on the World Wide Web and Public Health Intelligence (W3PHI 2015)
<br>
<br>
<br> www.w3phi.com
<br>
<br>
<br>In conjunction with the 29th AAAI Conference on Artificial Intelligence (AAAI-15) January 25–29, 2015, in Austin, TX, USA
<br>
<br>
<br>The second International workshop on the World Wide Web and Public Health Intelligence (W3PHI 2015) aims to bring together a wide range of computer scientists, biomedical and health informaticians, researchers, students, industry professionals, representatives of national and international public health agencies, and NGOs interested in the theory and practice of computational models of web-based public health intelligence to highlight the latest achievements in epidemiological surveillance based on monitoring online communications and interactions on the World Wide Web. The workshop will promote open debate and exchange of opinions among participants.
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<br>***Topics
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<br>The workshop will include original contributions on theory, methods, systems, and applications of data mining, machine learning, databases, natural language processing, knowledge representation, artificial intelligence, semantic web, and big data analytics in web-based healthcare applications, with a focus on applications in public health. The scope of the workshop includes, but is not limited to, the following areas:
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<br>• Geographical Mapping and Visual analytics for Health Data
<br>• Social Media Analytics
<br>• Epidemic Intelligence
<br>• Predictive modelling and Decision support
<br>• Biomedical Ontologies, terminologies and standards
<br>• Bayesian Networks and Reasoning under Uncertainty
<br>• Temporal and Spatial Representation and Reasoning
<br>• Case-based Reasoning in Healthcare
<br>• Crowdsourcing, and Collective Intelligence
<br>• Risk assessment, Trust, Ethics, Privacy, and Abuse
<br>• Sentiment Analysis and Opinion Mining
<br>• Computational Behavioral/Cognitive Modeling
<br>• Health intervention design, modeling and evaluation
<br>• Online health education and e-learning
<br>• Mobile Web interfaces and applications
<br>• Applications in Epidemiology and Surveillance (e.g. Bioterrorism, Participatory Surveillance, Population Screening)
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<br>
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<br>This workshop aims to bring together a wide range of scientists, biomedical and health informaticians, students, industry professionals, representatives of national and international public health agencies, and NGOs interested in the theory and practice of computational models of web-based public health intelligence to highlight the latest achievements in epidemiological surveillance based on monitoring online communications and interactions on the World Wide Web. The workshop will promote open debate and exchange of opinions among participants.
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<br>***Format
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<br>The workshop will consist of welcome session, keynote and invited talks, full/short paper presentations, demos, posters, and a panel discussion.
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<br>*** Submission requirements
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<br>We invite researchers and industrial practitioners to submit their original contributions following AAAI format through EasyChair. Three categories of contribution are sought:
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<br>* Full-research papers up to 8 pages
<br>* short paper up to 4 pages
<br>* Posters and demos up to 2 pages
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<br>Research papers should demonstrate a novel computational theories or methodologies for addressing issues in public health. Papers discussing systems and applications should explain the development, implementation or evaluation of innovative, web-based tools and systems with potential benefits to solve problems in healthcare. Short papers should report works-in-progress, system descriptions, qualified opinions, positions, or recommendations on emerging topics.
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<br>Each paper will be reviewed by at least three reviewers from the program committee. The submitted research papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing.
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<br>*** Proceedings
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<br> Accepted papers will appear in the AAAI 2015 Workshops Proceedings. We will tentatively invite the best submissions to extend their papers in order to be published in a special issue of a journal. Also the post-workshop proceedings including the extended/revised versions of selected papers will be published in a volume in Lecture Notes in Social Networks (Springer).
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<br>*** Important Dates
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<br>- Paper submission deadlines: October 14, 2014
<br>- Notification of Acceptance: November 14, 2014
<br>- Final camera-ready copy hard deadline: November 25, 2014
<br>- Workshop: January 25 or 26, 2015
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<br>*** Workshop Chairs
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<br>- David L. Buckeridge, MD, PhD,
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<br>McGill Clinical & Health Informatics,
<br>McGill University
<br>1140 Pine Avenue West,
<br>Montreal, Quebec, H3A 1A3 CANADA,
<br>(514) 398-8355 (tel)
<br>(514) 843-1551 (fax)
<br>Email: david.buckeridge@mcgill.ca
<br>Url: http://surveillance.mcgill.ca/
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<br>- Arash Shaban-Nejad, PhD,
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<br>Research Consultant
<br>McGill Clinical & Health Informatics,
<br>McGill University
<br>1140 Pine Avenue West,
<br>Montreal, Quebec, H3A 1A3 CANADA,
<br>(514) 934-1934 ext. 32986 (tel)
<br>(514) 843-1551 (fax)
<br>Email: arash.shaban-nejad@mcgill.ca
<br>Url: http://surveillance.mcgill.ca/
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<br>- John S. Brownstein, PhD
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<br>Boston Children's Hospital,
<br>Harvard University,
<br>Autumn St, Room 451,
<br>Boston, MA 02215 USA,
<br>(617) 355-6998 (tel)
<br>(617) 730-0921 (fax)
<br>Email: john_brownstein@harvard.edu
<br>Url: http://chip.org/john-brownstein
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<br>*** Workshop Scientific Committee:
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<br>Mark Musen, Stanford University, USA
<br>Nigam Shah, Stanford University, USA
<br>Senjuti Basu Roy, University of Washington, Tacoma, USA
<br>Nigel Collier, National Institute of Informatics, Japan
<br>David L. Buckeridge, McGill University, Canada
<br>Ciro Cattuto, ISI Foundation, Turin, Italy
<br>Maged Kamel Boulos, University of Plymouth, UK
<br>John S. Brownstein, Harvard University, USA
<br>Masoumeh T. Izadi, McGill University, Canada
<br>Jiang Guoqian, Mayo Clinic, Rochester, USA
<br>Neil F. Abernethy, University of Washington, USA
<br>Chris Paton, University of Oxford, UK
<br>Christopher J.O. Baker, University of New Brunswick
<br>Alessio Signorini, University of Iowa, USA
<br>Arash Shaban-Nejad, McGill University, Canada
<br>Jason J. Jung, Yeungnam University, Republic of Korea
<br>Courtney D. Corley, Pacific Northwest National Lab, USA
<br>Anette Hulth, Karolinska Institute, Sweden
<br>Trevor Cohen, University of Texas Health Science, USA
<br>Mark Dredze, Johns Hopkins University, USA
<br>Noémie Elhadad, Columbia University, USA
<br>Yan Zhang, University of Texas at Austin, USA
<br>Ian Painter, University of Washington, USA
<br>Christopher C. Yang, Drexel University, USA
<br>Martin Michalowski, Adventium Labs, USA
<br>Byron Wallace, University of Texas at Austin, USA
<br>Simone Bianco, IBM Research, Almaden, USA
<br>Jenna Wiens, University of Michigan. USA
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<br>Workshop URL: www.w3phi.com
